GLM 5.3 Flash
GLM-5.3-Flash 是智谱(Z.ai)推出的原生多模态模型,适用于高效编码与长周期 Agent 任务,其混合稀疏与线性注意力架构在保持长上下文准确性方面表现出色。
模态
上下文
1.31Mtokens
最大输出 131K tokens
排名与分数走势
排名
Elo 评分
能力
工具调用 (Tools)
结构化输出
并行工具调用
视觉输入
音频输入
多服务商价格对比数据来自 OpenRouter
| 服务商 | 量化精度 | 上下文 | 输入/M | 输出/M | 缓存读取/M | 近1天可用率 |
|---|---|---|---|---|---|---|
G GMICloud限时 -50% | fp8 | 1.05M | ¥0.50 | ¥1.68 | ¥0.10 | 98.9% |
| fp8 | 1.05M | ¥0.50 | ¥1.68 | ¥0.10 | 99.6% | |
| fp4 | 1.05M | ¥0.50 | ¥1.68 | ¥0.10 | 99.7% | |
| fp8 | 1.05M | ¥0.50 | ¥1.68 | ¥0.10 | 98.8% | |
W Wafer | — | 1.05M | ¥0.67 | ¥2.35 | ¥0.13 | 96.2% |
M Makora | — | 1.05M | ¥0.94 | ¥3.16 | ¥0.16 | 99.9% |
| fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 100.0% | |
C CoreWeave | fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.34 | 99.3% |
S Sail Research | fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.5% |
| — | 1.02M | ¥1.01 | ¥3.36 | ¥0.20 | 98.6% | |
N NextBit | fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.7% |
| — | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.4% | |
| — | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.8% | |
S SiliconFlow | fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.5% |
| — | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 88.4% | |
| — | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.7% | |
R Reka | fp8 | 262K | ¥1.01 | ¥3.36 | ¥0.20 | 99.7% |
| fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 94.3% | |
| fp8 | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 100.0% | |
| — | 1.05M | ¥1.01 | ¥3.36 | ¥0.20 | 99.7% | |
I Io Net | fp8 | 262K | ¥1.01 | ¥3.36 | ¥0.20 | 98.9% |
| — | 1.31M | ¥1.01 | ¥3.36 | ¥0.20 | 100.0% | |
| fp8 | 1.05M | ¥2.61 | ¥9.12 | ¥0.52 | 90.3% |
G
GMICloudfp8限时 -50%¥0.50
输入/M
¥1.68
输出/M
¥0.10
缓存/M
98.9%
可用率
¥0.50
输入/M
¥1.68
输出/M
¥0.10
缓存/M
99.6%
可用率
¥0.50
输入/M
¥1.68
输出/M
¥0.10
缓存/M
99.7%
可用率
¥0.50
输入/M
¥1.68
输出/M
¥0.10
缓存/M
98.8%
可用率
W
Wafer¥0.67
输入/M
¥2.35
输出/M
¥0.13
缓存/M
96.2%
可用率
M
Makora¥0.94
输入/M
¥3.16
输出/M
¥0.16
缓存/M
99.9%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
100.0%
可用率
C
CoreWeavefp8¥1.01
输入/M
¥3.36
输出/M
¥0.34
缓存/M
99.3%
可用率
S
Sail Researchfp8¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.5%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
98.6%
可用率
N
NextBitfp8¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.7%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.4%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.8%
可用率
S
SiliconFlowfp8¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.5%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
88.4%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.7%
可用率
R
Rekafp8¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.7%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
94.3%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
100.0%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
99.7%
可用率
I
Io Netfp8¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
98.9%
可用率
¥1.01
输入/M
¥3.36
输出/M
¥0.20
缓存/M
100.0%
可用率
¥2.61
输入/M
¥9.12
输出/M
¥0.52
缓存/M
90.3%
可用率
📊 Artificial Analysis 综合指数
46.2
智能指数
71.5
编程指数
51.5
Agent 指数